code: def test_apply_round_robin_multiargs(self):
      x = jnp.ones(10)  # Base input
  
      wrapped_ffn = funny_args_ffn(x)
  
      rr_ensemble = ensemble.make_ensemble(
          wrapped_ffn, ensemble.apply_round_robin, num_networks=3
      )
      key = jax.random.PRNGKey(0)
      params = rr_ensemble.init(key)
      self.assertTupleEqual(params.shape, (3,) + x.shape)
  
      ex = jnp.broadcast_to(x, (3,) + x.shape)
      y = rr_ensemble.apply(params, ex, 2 * ex, ex)
      self.assertTupleEqual(y.shape, (3,) + x.shape)
      np.testing.assert_allclose(
          params,
          y - jnp.broadcast_to(2 * x, (3,) + x.shape),
          atol=1e-5,
          rtol=1e-5,
      )
  
      y = rr_ensemble.apply(params, ex, bar=ex, foo=2 * ex)
      self.assertTupleEqual(y.shape, (3,) + x.shape)
      np.testing.assert_allclose(
          params,
          y - jnp.broadcast_to(2 * x, (3,) + x.shape),
          atol=1e-5,
          rtol=1e-5,
      )
  
imports: import functools
  from typing import Any
  from acme.agents.jax.mbop import ensemble
  from acme.jax import networks
  from flax import linen
  import jax
  import jax.numpy
  import numpy
  from absl.testing import absltest
label_desc: Use image node_id 7 for calling the EnsembleTest obj's underlying member method code with example usage: obj.test_apply_round_robin_multiargs() without return types